Literature DB >> 22681166

Genetics and personalized medicine in antidepressant treatment.

Katarina Gvozdic1, Eva J Brandl, Danielle L Taylor, Daniel J Müller.   

Abstract

BACKGROUND: Antidepressant medication is a major cornerstone in treatment of mood and anxiety disorders. Numerous substances are available on the market; however, only 60% of treated patients show sufficient response to medication and side effects are common. Lengthy trials are not uncommon until the optimized drug and dose is found and unfortunately, no valid predictors to match the 'right' drug to the 'right' patient exist nowadays. Genetic factors are thought to be involved as evidenced by numerous pharmacogenetic studies. This comprehensive review summarizes the most interesting findings and discusses clinical implications of pharmacogenetic results.
METHODS: We reviewed available literature on pharmacogenetics of antidepressant response and side effects until summer 2011 using the PubMed database.
RESULTS: Promising findings exist for several variants in candidate genes involved in the pharmacokinetics or pharmacodynamics of antidepressants. These include association findings in the serotonin transporter gene (5-HTT), serotonin receptor genes, a gene coding an efflux pump in the blood-brain-barrier (ABCB1), and genes involved in the HPA axis. Promising candidate genes increasing risk for side effects include some of the genes associated with treatment response and cytochrome P450 genes.
CONCLUSION: A high number of studies on pharmacogenetics of antidepressants have been published during the past decades. However, contradictory results still limit clinical use of these findings. Future studies should include functional analyses and consider gene-gene and gene-environment interactions. This will aid in facilitating a future use of pharmacogenetics in clinical practice, likely leading to improved patient care.

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Year:  2012        PMID: 22681166     DOI: 10.2174/138161212803523617

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  9 in total

Review 1.  Pharmacological treatment of obsessive-compulsive disorder.

Authors:  Christopher Pittenger; Michael H Bloch
Journal:  Psychiatr Clin North Am       Date:  2014-07-24

Review 2.  Pharmacogenetics and Imaging-Pharmacogenetics of Antidepressant Response: Towards Translational Strategies.

Authors:  Tristram A Lett; Henrik Walter; Eva J Brandl
Journal:  CNS Drugs       Date:  2016-12       Impact factor: 5.749

Review 3.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors.

Authors:  J K Hicks; J R Bishop; K Sangkuhl; D J Müller; Y Ji; S G Leckband; J S Leeder; R L Graham; D L Chiulli; A LLerena; T C Skaar; S A Scott; J C Stingl; T E Klein; K E Caudle; A Gaedigk
Journal:  Clin Pharmacol Ther       Date:  2015-06-29       Impact factor: 6.875

Review 4.  [Pharmacogenetics in psychiatry: state of the art].

Authors:  D J Müller; E J Brandl; F Degenhardt; K Domschke; H Grabe; O Gruber; J Hebebrand; W Maier; A Menke; M Riemenschneider; M Rietschel; D Rujescu; T G Schulze; L Tebartz van Elst; O Tüscher; J Deckert
Journal:  Nervenarzt       Date:  2018-03       Impact factor: 1.214

5.  Genome-wide association studies of placebo and duloxetine response in major depressive disorder.

Authors:  M Maciukiewicz; V S Marshe; A K Tiwari; T M Fonseka; N Freeman; J L Kennedy; S Rotzinger; J A Foster; S H Kennedy; D J Müller
Journal:  Pharmacogenomics J       Date:  2017-07-11       Impact factor: 3.550

6.  [Predictive factors of depression and its therapy].

Authors:  H Himmerich; E Kohls; U Hegerl; C Rummel-Kluge
Journal:  Nervenarzt       Date:  2014-10       Impact factor: 1.214

7.  Epigenetic Modulation of Mood Disorders.

Authors:  T Archer; M Oscar-Berman; K Blum; Ms Gold
Journal:  J Genet Syndr Gene Ther       Date:  2013-02-11

Review 8.  Pharmacogenetics of Obsessive-Compulsive Disorder: An Evidence-Update.

Authors:  Gwyneth Zai
Journal:  Curr Top Behav Neurosci       Date:  2021

9.  Optimization of Antidepressant use with Pharmacogenetic Strategies.

Authors:  Clara Torrellas; Juan Carlos Carril; Ramón Cacabelos
Journal:  Curr Genomics       Date:  2017-10       Impact factor: 2.236

  9 in total

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